Applied Probability Group

The best mathematical description of many natural and engineered
systems is a probabilistic one. This can be the case for a number
of reasons:

the system is stochastic by design, such as medium access control
algorithms in wireless networks that can be analyzed using using queueing
theory;

the system operation depends on large amounts of heterogeneity
in its components, such as in proliferating cell systems in
biology that are studied in mathematical biology;

the system has many unknowns about which complete knowledge is not
available in any single specific instance, but whose distributional
character can be identified, as is the case in the study of
communication channels in information theory.

The common theme of members of the Applied Probability Group is their
use of probabilistic methodologies to analyse, understand and control
stochastic systems. This work is principally focused on the area of
telecommunications, but also in immunology.